The objective of this study is to compare the precision of the parameter estimates ofmean using two weighting adjustment methods for unit nonresponse, namely Rakingand Postratification methods. The study shows that both methods produced similarbiased estimates of the population mean. The standard errors of the estimatesindicate that where there was less variation among population data, Poststratificationand Raking methods provided better results than using only the base weightingadjustment method, and Raking gave smaller standard errors than Poststratification. Inaddition, when there was a greater variation in population data, both methods gaveless difference in standard errors. Moreover, when a larger sample size was used, theestimates obtained from the two methods resembled standard errors compared to theresults gained from using baseline weighting.